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» Unsupervised possibilistic clustering
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SSPR
2004
Springer
14 years 1 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
NIPS
2001
13 years 9 months ago
Agglomerative Multivariate Information Bottleneck
The Information bottleneck method is an unsupervised non-parametric data organization technique. Given a joint distribution
Noam Slonim, Nir Friedman, Naftali Tishby
BMCBI
2010
151views more  BMCBI 2010»
13 years 7 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
ICPR
2000
IEEE
14 years 2 days ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
KDD
2005
ACM
135views Data Mining» more  KDD 2005»
14 years 8 months ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno